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Facilitators and barriers to effective scale-up of an evidence-based multilevel HIV prevention intervention

Overview of attention for article published in Implementation Science, April 2015
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  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

7 tweeters
1 Facebook page


30 Dimensions

Readers on

137 Mendeley
1 CiteULike
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Facilitators and barriers to effective scale-up of an evidence-based multilevel HIV prevention intervention
Published in
Implementation Science, April 2015
DOI 10.1186/s13012-015-0216-2
Pubmed ID

Susan M Kegeles, Gregory Rebchook, Scott Tebbetts, Emily Arnold


Since the scale-up of HIV/AIDS prevention evidence-based interventions (EBIs) has not been simple, it is important to examine processes that occur in the translation of the EBIs into practice that affect successful implementation. The goal of this paper is to examine facilitators and barriers to effective implementation that arose among 72 community-based organizations as they moved into practice a multilevel HIV prevention intervention EBI, the Mpowerment Project, for young gay and bisexual men. CBOs that were implementing the Mpowerment Project participated in this study and were assessed at baseline, and 6-months, 1 year, and 2 years post-baseline. Semi-structured telephone interviews were conducted separately with individuals at each CBO. Study data came from 647 semi-structured interviews and extensive notes and commentaries from technical assistance providers. Framework Analysis guided the analytic process. Barriers and facilitators to implementation was the overarching thematic framework used across all the cases in our analysis. Thirteen themes emerged regarding factors that influence the successful implementation of the MP. These were organized into three overarching themes: HIV Prevention System Factors, Community Factors, and Intervention Factors. The entire HIV Prevention System, including coordinators, supervisors, executive directors, funders, and national HIV prevention policies, all influenced implementation success. Other Prevention System Factors that affected the effective translation of the EBI into practice include Knowledge About Intervention, Belief in the Efficacy of the Intervention, Desire to Change Existing Prevention Approach, Planning for Intervention Before Implementation, Accountability, Appropriateness of Individuals for Coordinator Positions, Evaluation of Intervention, and Organizational Stability. Community Factors included Geography and Sociopolitical Climate. Intervention Factors included Intervention Characteristics and Adaptation Issues. The entire ecological system in which an EBI occurs affects implementation. It is imperative to focus capacity-building efforts on getting individuals at different levels of the HIV Prevention System into alignment regarding understanding and believing in the program's goals and methods. For a Prevention Support System to be maximally useful, it must address facilitators or barriers to implementation, address the right people, and use modalities to convey information that are acceptable for users of the system.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
United States 1 <1%
Australia 1 <1%
Unknown 133 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 23%
Researcher 24 18%
Student > Ph. D. Student 16 12%
Student > Doctoral Student 11 8%
Student > Bachelor 9 7%
Other 25 18%
Unknown 20 15%
Readers by discipline Count As %
Medicine and Dentistry 24 18%
Social Sciences 24 18%
Nursing and Health Professions 24 18%
Psychology 14 10%
Economics, Econometrics and Finance 4 3%
Other 16 12%
Unknown 31 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 June 2015.
All research outputs
of 15,821,281 outputs
Outputs from Implementation Science
of 1,495 outputs
Outputs of similar age
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Outputs of similar age from Implementation Science
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Altmetric has tracked 15,821,281 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,495 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 230,883 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them